Mamba Bit!

Mamba with vocab size 2 bites again! This time we bite at tiny stories. I didn't bother preprocess them at all, during a training model took random char offset, converted it to bit string and fed to mamba. This time I didn't forget about residual connections nor about norm. As the result model was trained in BF16.

Training code included.

Example to run a model from CLI:

$ python mambabit.py "Run, kitten, run"

Run, kitten, running and jumping. She saw a big tree and thought it would be fun to share the tree. So, she went to the tree and started to climb the tree. She saw a big tree and thought it would be fun to share the tree. So, she went to the tree and saw a big red ball.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and HF Inference API was unable to determine this model's library.